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The most popular blog posts about ai & machine learning on Hacker News. 6,328 posts.
It’s very tempting to imagine that AI turns everyone into a tool-builder - now everyone can just ask the model to make the software they need, and apps as we know them are dead. I think that misunderstands how most people think and where software actually comes from, and more importantly, it isn’t
Wolfram's many advances, including the Wolfram Language, are coming together to create a new and profoundly important unified level of computation.
In this article we take performance of the SSD300 model even further, leaving Python behind and moving towards true production deployment technologies: TorchScript, TensorRT and DeepStream. We also identify and understand several limitations in Nvidia’s DeepStream framework, and then remove them by modifying how the…
Last year for National Novel Writing Month I trained a neural net called torch-rnn on 10,096 unique ways to begin a novel. It came up with some intriguing possibilities, my personal favorite being “I am forced to write to my neighbors about the beast.” But many of its sentences used made-up words, or had such weird…
We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.
We've put together an index of testing terms and articles, covering many of the basics of testing and definitions for common searches.
How to get up to speed on open models and their implications.
Facebook AI has developed a new technique to mark the images in a dataset, so that researchers can then determine if a particular machine learning model...
We’re working with Microsoft to start running most of our large-scale experiments on Azure.
A mid-depth cap with classic style for any occasion, this Nike Club Cap comes in smooth cotton twill that's been softly washed for casual, daily comfort. Soft and unstructured, the precurved bill makes for easy styling, and the adjustable back-strap lets you find the right fit. Nike Hat Size 6 1/2 6 5/8 6 3/4 6 7/8 7…
In 2023, we launched an AI-powered Chief of Staff for engineering leaders—an assistant that unified information across team tools and tracked critical project developments. Within a year, we attrac...
Poking at the geometry of an image model's feature space.
I've seen a couple of recent posts where the writer mentioned asking LLMs to do something with a certain probability or a certain percentage of the time. There is a particular example that stuck in my mind which I've since lost the link to (If you're the author, please get in touch so I can link through to you): The…
About a week ago, my home Internet (AT&T Fiber) went from the ~1 Gbps I pay for down to about 100 Mbps (see how I monitor my home Internet with a Pi). It wasn't too inconvenient, and I considered waiting it out to see if the speed recovered at some point, because latency was fine. But as you can see around 7/7 on that…
Nial – Knowledge work and artificial intelligence.
Or: the difference between vibe-coding and vibe-engineering.
Unfortunately for the countless hapless people I've talked to in the past few months, this was inexorable. Ever since ChatGPT exploded in popularity, my inner designer has been bursting at the seams.
It’s very much a “v1” product. You type a prompt to start a new thread, it launches a little container for your agent to work in, and you can keep talking to it. It produces a branch, which you can open a PR for (that’s the only way to see a diff of the changes Claude Code made, for now). Or if you want to keep…
The models are powerful as is. But where are the tools?
Instead of wanting to learn and improve as humans, and build better software, we’ve outsourced our mistakes to an unthinking algorithm.
Short stories about the singularity written in collaboration with GPT-3.
We’re launching the Claude Partner Network, a program for partner organizations helping enterprises adopt Claude.
A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design.
Databricks shares results from its internal coding benchmark, evaluating coding agents on a multi-million line codebase to optimize engineering cost and performance.
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar…
